ReDRAM: A Reconfigurable Processing-in-DRAM Platform for Accelerating Bulk Bit-Wise Operations

Shaahin Angizi, Deliang Fan
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引用次数: 34

Abstract

In this paper, we propose ReDRAM, as a reconfigurable DRAM-based processing-in-memory (PIM) accelerator, which transforms current DRAM architecture to massively parallel computational units exploiting the high internal bandwidth of modern memory chips. ReDRAM uses the analog operation of DRAM sub-arrays and elevates it to implement a full set of 1- and 2-input bulk bit-wise operations (NOT, (N)AND, (N)OR, and even X(N)OR) between operands stored in the same bit-line, based on a new dual-row activation mechanism with a modest change to peripheral circuits such sense amplifiers. ReDRAM can be leveraged to greatly reduce energy consumption and latency of complex in-DRAM logic computations relying on state-of-the-art mechanisms based on triple-row activation, dual-contact cells, row initialization, NOR style, etc. The extensive circuit-architecture simulations show that ReDRAM achieves on average 54× and 7.1× higher throughput for performing bulk bit-wise operations compared with CPU and GPU, respectively. Besides, ReDRAM outperforms recent processing-in-DRAM platforms with up to 3.7× better performance.
ReDRAM:加速批量位操作的可重构处理平台
在本文中,我们提出了ReDRAM,作为一个可重构的基于DRAM的内存处理(PIM)加速器,它将当前的DRAM架构转变为大规模并行计算单元,利用现代存储芯片的高内部带宽。ReDRAM使用DRAM子阵列的模拟操作,并将其提升到实现存储在同一位线上的操作数之间的全套1和2输入批量位操作(NOT, (N) and, (N)OR,甚至X(N)OR),基于新的双行激活机制,对外围电路(如感测放大器)进行适度改变。借助基于三行激活、双接触单元、行初始化、NOR风格等最先进机制,ReDRAM可以大大降低复杂的dram逻辑计算的能耗和延迟。广泛的电路架构模拟表明,与CPU和GPU相比,ReDRAM在执行批量位操作时的吞吐量分别高出54倍和7.1倍。此外,ReDRAM的性能比最近的dram中处理器平台高出3.7倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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